Course: Computer Simulations in Agriculture and Technology

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Course title Computer Simulations in Agriculture and Technology
Course code KZT/VPSZT
Organizational form of instruction Lecture + Seminary
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Bartoš Petr, doc. RNDr. Ph.D.
  • Bumbálek Roman, Ing. Mgr. Ph.D.
  • Zoubek Tomáš, Mgr.
Course content
1. Introductory lesson 2. Demonstration of the use of computer simulations - technical practice 3. Demonstration of the use of computer simulations - agriculture 4. Hardware and software for computer simulations - basic theoretical principles and background 5. Principles of numerical methods - theoretical basis 6. Principles of computer graphics and data visualization, image processing methods 7. Basics of algorithmization and use of algorithms in crop production 8. Image processing methods in crop production 9. Basics of algorithmization and use of algorithms in animal production 10. Application of image processing methods in livestock production 11. Modern computational methods I. 12. Modern computational methods II. 13. Topic according to students' wishes 14. Time Reserve

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with multi-media resources (texts, internet, IT technologies)
  • Class attendance - 42 hours per semester
  • Preparation for classes - 35 hours per semester
  • Semestral paper - 40 hours per semester
  • Preparation for credit - 35 hours per semester
  • Preparation for exam - 30 hours per semester
Learning outcomes
The aim of the course is to acquire basic theoretical knowledge in the use of computer technology to predict the behaviour of selected systems in agricultural and technical fields. In the seminars, students will acquire the skills to apply these theoretical backgrounds to specific situations.
The student is able to apply the knowledge acquired during the study defined in the Content section of this syllabus.
Prerequisites
Basic IT skills

Assessment methods and criteria
Combined exam

Preparation of a term paper
Recommended literature
  • Esfandiari, R.S. Numerical Methods for Engineers and Scientists Using MATLAB. CRC Press, 2017. ISBN 978-1-4987-7742-1.
  • Flasinski M. Introduction to Artificial Intelligence. Springer International Publishing AG, 2016. ISBN 9783319400204.
  • Gould, H. Introduction to Computer Simulation Methods. 2006. ISBN 0-8053-7758-1.
  • Greenbaum A et al. Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms. Princeton University Press, 2012. ISBN 978-0691151229.
  • Hrach, R. Počítačová fyzika I. UJEP, 2003. ISBN 80-7044-521-1.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester